Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Aiken, John M."'
Exploring the spatio-temporal variations of COVID-19 transmission and its potential determinants could provide a deeper understanding of the dynamics of disease spread. This study aims to investigate the spatio-temporal spread of COVID-19 infection r
Externí odkaz:
http://arxiv.org/abs/2308.09404
Across the field of education research there has been an increased focus on the development, critique, and evaluation of statistical methods and data usage due to recently created, very large data sets and machine learning techniques. In physics educ
Externí odkaz:
http://arxiv.org/abs/2106.11038
The time it takes a student to graduate with a university degree is mitigated by a variety of factors such as their background, the academic performance at university, and their integration into the social communities of the university they attend. D
Externí odkaz:
http://arxiv.org/abs/2005.05104
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Phys. Rev. Phys. Educ. Res. 15, 010128 (2019)
Physics education research has used quantitative modeling techniques to explore learning, affect, and other aspects of physics education. However, these studies have rarely examined the predictive output of the models, instead focusing on the inferen
Externí odkaz:
http://arxiv.org/abs/1810.11272
Computation is a central aspect of 21st century physics practice; it is used to model complicated systems, to simulate impossible experiments, and to analyze mountains of data. Physics departments and their faculty are increasingly recognizing the im
Externí odkaz:
http://arxiv.org/abs/1810.07859
While other fields such as statistics and education have examined various issues with quantitative work, few studies in physics education research (PER) have done so. We conducted a two-phase study to identify and to understand the extent of these is
Externí odkaz:
http://arxiv.org/abs/1809.03915
In this work, we attempted to predict student performance on a suite of laboratory assessments using students' interactions with associated instructional videos. The students' performance is measured by a graded presentation for each of four laborato
Externí odkaz:
http://arxiv.org/abs/1807.01912
Autor:
Aiken, John M., Caballero, Marcos D.
Physics Education Research frequently investigates what students studying physics do on small time scales (e.g. single courses, observations within single courses), or post-education time scales (e.g., what jobs do physics majors get?) but there is l
Externí odkaz:
http://arxiv.org/abs/1606.07170
Autor:
Lin, Shih-Yin, Aiken, John M., Seaton, Daniel T., Douglas, Scott S., Greco, Edwin F., Thoms, Brian D., Schatz, Michael F.
The advent of MOOCs has stimulated interest in using online videos to deliver content in university courses. We examined student engagement with 78 online videos that we created and were incorporated into a one-semester blended introductory mechanics
Externí odkaz:
http://arxiv.org/abs/1603.03348